城市轨道交通车站高峰客流偏差研究
余丽洁1肖娜2陈宽民1马超群1
Study of Peak Passenger Flow Deviation in Urban Rail Transit Stations
YU LijieXIAO NaCHEN KuanminMa Chaoqun
-
作者信息:1.长安大学运输工程学院，710064，西安；
2.中交第一公路勘察设计研究院有限公司，710075，西安
-
Affiliation:College of Transportation Engineer－ing，Chang′an University，710064，Xi′an，China
-
关键词:
-
Key words:
-
DOI:10.16037/j.1007-869x.2021.01.021
-
中图分类号/CLCN:U231.4； U293.1+ 3
-
栏目/Col:研究报告
摘要:
城市轨道交通车站设计时，大多数城市采用预测的 城市高峰小时客流作为设计客流。 但由于城市轨道交通车站 客流的高峰出现时段与城市高峰小时不完全一致，导致某些 车站设计客流偏小。 为研究城市高峰小时客流与车站高峰小 时客流的差异，通过引入车站高峰客流偏差系数，合理确定 车站设计客流。 以西安市地铁为例，运用最小二乘支持向量 机建立预测车站高峰客流偏差系数的模型，得出训练集拟合 优度为 0.71，测试集预测平均相对误差为 2.41%，模型拟合效 果良好，表明最小二乘支持向量机能够很好地预测车站高峰 客流偏差系数。
Abstracts:
When designing urban rail transit stations，most cities adopt the forecast city peak hour passenger flow as the design passenger flow，but the station peak passenger flow hour does not exactly coincide with the city peak hour，so some stations are designed smaller than needed. In order to study the difference between the city peak hour passenger flow and the station peak hour passenger flow，the concept of station peak passenger flow deviation coefficient is introduced to rationally decide the station design passenger flow. Taking Xi′an Metro as an example，the model of predicting the station peak passenger flow deviation coefficient is established by using the least squares support vector machine. The goodness of fit of trained set is 0.71，and the mean relative error of the test set prediction is 2.41%，and the model fitting effect is good，which means the least squares support vector machine is a good predictor of the station peak deviation coefficient.
引文 / Ref:
余丽洁，肖娜，陈宽民，等.城市轨道交通车站高峰客流偏差研究[J].城市轨道交通研究，2021，24（1）：97.
YU Lijie，XIAO Na，CHEN Kuanmin，et al.Study of Peak Passenger Flow Deviation in Urban Rail Transit Stations[J].Urban mass transit，2021，24（1）：97.
YU Lijie，XIAO Na，CHEN Kuanmin，et al.Study of Peak Passenger Flow Deviation in Urban Rail Transit Stations[J].Urban mass transit，2021，24（1）：97.
- 上一篇: 高铁物流运输模式及其可行性
- 下一篇: 城市数字化转型给轨道交通带来的机遇和挑战
过刊浏览
资料下载
友情链接